Research Article
Prediction of Secondary School Students’ Alcohol Addiction using Random Forest
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 149 - Issue 6 |
| Published: Sep 2016 |
| Authors: B. Hariharan, R. Krithivasan, Angel Deborah |
10.5120/ijca2016911423
|
B. Hariharan, R. Krithivasan, Angel Deborah . Prediction of Secondary School Students’ Alcohol Addiction using Random Forest. International Journal of Computer Applications. 149, 6 (Sep 2016), 21-25. DOI=10.5120/ijca2016911423
@article{ 10.5120/ijca2016911423,
author = { B. Hariharan,R. Krithivasan,Angel Deborah },
title = { Prediction of Secondary School Students’ Alcohol Addiction using Random Forest },
journal = { International Journal of Computer Applications },
year = { 2016 },
volume = { 149 },
number = { 6 },
pages = { 21-25 },
doi = { 10.5120/ijca2016911423 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2016
%A B. Hariharan
%A R. Krithivasan
%A Angel Deborah
%T Prediction of Secondary School Students’ Alcohol Addiction using Random Forest%T
%J International Journal of Computer Applications
%V 149
%N 6
%P 21-25
%R 10.5120/ijca2016911423
%I Foundation of Computer Science (FCS), NY, USA
Abstract
Teenage alcohol addiction poses a major problem to the well-being of the individual as well as the society. Prevention of this requires identifying the factors causing this addiction. The existing systems mainly rely on decision trees and are able to isolate the factors causing the addiction. The proposed system will be able to predict whether a student with a set of conditions will get addicted to alcohol or not with high accuracy and thereby verify the extent to which the isolated factors are correct.
References
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